This system reveals a method for real-time calibration of AI to ensure privacy and interfaith sensitivity, enhancing control and auditability.
10.5281/zenodo.19686687 PCT/IB2025/059154 - Calibration Device, System and Method for Privacy-Preserving Calibration and Governance of AI Personas with Interfaith Sensitivity (ZED-Architecture) ZED is not logging. It is not privacy. It is: a control system for AI behavior Core Problem Modern AI: stores raw data leaks context drifts unpredictably cannot be audited Result: AI is powerful — but uncontrollable Core Idea ZED introduces: AI that can be calibrated, governed, and auditedwithout exposing data What Makes It Different Traditional systems: train models filter outputs hope for alignment ZED: calibrates behavior in real time enforces stability mathematically logs everything without storing data How It Works 1. Persona Calibration Engine AI personality is not fixed. It is: pCalibrated = f(L, C)(pRaw) Where: pRaw → raw psychometric vector L → language C → community Result: AI adapts to culture without losing identity 2. Stability Metrics (Critical Layer) ZED continuously measures: Tem → emotional temperature r → repetition (loops) JS → semantic drift If unstable: redirect cool isolate Result: AI cannot spiral or hallucinate uncontrollably 3. ZEDA — Zero Exposure Data Architecture Key breakthrough: AI does NOT store text. It stores: Commit = H(salt || template_id || motif_id || community_id || policy_version) Meaning: no raw conversations no personal data only cryptographic traces Result: privacy by design, not by policy 4. WORM Logging (Immutable Memory) All actions are recorded: append-only tamper-resistant auditable But: without revealing content Result: perfect audit without surveillance 5. Affect-Augmented Tokenizer Each token: [content: 8 bits] + [emotion: 4 bits] Emotion is: parallel separated measurable Result: AI understands tone vs meaning 6. Dual-Key Safety System Critical actions require: AI confidence human approval (or quorum) Result: no uncontrolled irreversible decisions 7. SuperGraph Ontology Everything is: nodes (entities) hyperedges (events) And every event: exists as a cryptographic proof Result: AI world = structured, auditable reality 8. Embodiment Layer Mental state → physical action: ManifestsAs(Mental, Physical) Result: AI decisions become controlled real-world actions 9. Federated + Privacy Training no central data only aggregated updates differential privacy + ZK proofs Result: scalable without surveillance Critical Breakthrough Other systems: try to align AI ZED: enforces alignment at runtime What Actually Emerges Not just governance. But: a controllable intelligence system Real Impact Healthcare → safe emotional AI Finance → controlled decision agents Robotics → safe actuation Religion → interfaith sensitivity OSINT → analysis without exposure Performance Reality latency < 100 ms engagement +35–40% reduced instability events Integration Role ZED = governance layer BiLin = meaning Base12 = computation TriLinFly = coordination ImmortalSwarm = identity Final Statement ZED proves: AI does not need to be restricted —it needs to be governed structurally Hashtags#AI #ResponsibleAI #PrivacyAI #ZEDA #AIGovernance #AGI #EthicalAI #CyberSecurity #AIAlignment #FutureAI #DeepTech #TrustworthyAI P.S. This publication establishes prior art and does not grant commercial usage rights. Licensing available upon request.
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Sergey Dzhumaev (2025) studied this question.
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